NVIDIA
Senior AI Training Performance Architect
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Jul 24, 2026
- Experience
- PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
- Education
- PhD in CS, EE or CSEE (or equivalent experience); or MS.
About the job
Analyzes and optimizes AI training performance across NVIDIA’s hardware and software stack, including workloads, benchmarks, tools, and architecture studies.
What you'll do
- Profile and optimize AI training workloads; identify and resolve GPU performance bottlenecks.
- Implement production-quality software across NVIDIA’s deep learning stack and support MLPerf Training submissions.
- Implement training workloads in processor and system simulators and develop workflow automation tools.
What they ask for
- Strong background in deep learning and neural network training.
- Understanding of computer architecture and familiarity with GPU architecture fundamentals.
- Proven experience analyzing and tuning application performance, and with processor and system-level performance modeling.
- Proficiency in C++, Python, and CUDA.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
C++, Python, CUDA, GPUs, MLPerf Training
AI focus
Optimizes AI training workloads and develops benchmark, simulation, and analysis capabilities for deep learning systems.
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